Product Analyst [mobile games]

Join Burny Games — a Ukrainian company that creates mobile puzzle games. Our mission is to create top-notch innovative games to challenge players' minds daily.

What makes us proud?

• In just two years, we've launched two successful mobile games worldwide: Playdoku and Colorwood Sort. We have paused some projects to focus on making our games better and helping our team improve.
• Our games have been enjoyed by over 8 million players worldwide, and we keep attracting more players.
• We've created a culture where we make decisions based on data, which helps us grow every month.
• We believe in keeping things simple, focusing on creativity, and always searching for new and effective solutions.

What are you working on?

• Genres: Puzzle, Casual
• Platforms: Mobile, iOS, Android, Social

Team size and structure?

100+ employees

Key Responsibilities:

• monitor and interpret key product and business metrics, identifying trends, risks, and opportunities;
• set up, launch, and evaluate A/B tests and other experiments;
• perform deep-dive analyses on new features, game loops, player behavior, and monetization flows;
• translate messy data and complex logic into clear, actionable dashboards and insights;
• automate repetitive data processes, build alerting systems, and optimize existing workflows;
• collaborate with Producers, devs, and other analysts to improve data collection, instrumentation, and event design;
• own your work — we value initiative and give you space to implement bold, impactful ideas.

About You:

• at least 1 year of experience as an analyst in game dev industry;
• understand mobile game KPIs and lifecycle stages;
• fluent with tools like Amplitude, AppsFlyer, OneSignal, and know how to get the most out of them;
• built dashboards and reporting systems in Power BI, Tableau, or similar — ones that actually get used by teams;
• you can write clean SQL, use Python comfortably, and work with common data/analytics libraries;
• understand of A/B testing nuances, from design to interpretation;
• detail-obsessed — the kind of person who notices when something’s off before anyone else;
• able to tell a data story and present complex findings clearly to both tech and non-tech teammates.

Will Be a Plus:

• experience building and optimizing ETL workflows (dbt/Dataform, Airflow, etc.);
• applied machine learning for player segmentation, retention modeling, or monetization forecasting.

What we offer:

• Working in team of a technical experts which know how to maintain 750k DAU;
• Advanced workflow – CI/CD, pull requests, etc;
• We provide all for productive work, even license for Github Copilot;
• 100% payment of vacations and sick leave [20 days vacation, 22 days sick leave], medical insurance.
• A team of the best professionals in the games industry.
• Flexible schedule [start of work from 8 to 11, 8 hours/day].
• L&D center with courses.
• Self-learning library, access to paid courses.
• Stable payments.